get_significant_biomarker: Extract statistically significant biomarkers

In wilsoncai1992/adaptest: Data-Adaptive Statistics for High-Dimensional Multiple Testing

Description

Extract statistically significant biomarkers

Usage

get_significant_biomarker(object, cutoff = 0.5)

Arguments

object	data_adapt object
cutoff	cut-off value for composition percentage

Value

(integer vector) of significant gene index

Examples

set.seed(1234)
data(simpleArray)
simulated_array <- simulated_array
simulated_treatment <- simulated_treatment

adaptest_out <- adaptest(Y = simulated_array,
                         A = simulated_treatment,
                         W = NULL,
                         n_top = 5,
                         n_fold = 3,
                         learning_library = 'SL.glm',
                         parameter_wrapper = adaptest::rank_DE,
                         absolute = FALSE,
                         negative = FALSE)
get_significant_biomarker(adaptest_out)

wilsoncai1992/adaptest documentation built on Jan. 6, 2020, 2:33 p.m.